Maskerade

Maskerade is an AI simulation generator tool. Maskerade deploys synthetic AI personas that browse your site in parallel browsers, logging their reasoning and producing cross-persona UX insights in minutes instead of weeks of panel recruitment.

Maskerade is a UX research platform built around synthetic users. Instead of recruiting panels and waiting weeks for a report, teams describe a business question in plain language, point the tool at a starting URL, and send AI personas into a live browser to work through the journey as a shopper or visitor would. Each persona has a defined profile (a high-end shopper, an anxious first-time buyer, a bargain hunter) and the software generates many of them at once, so results arrive in minutes rather than research cycles. The pitch is aimed squarely at conversion work: understanding why people abandon a checkout, which messaging lands with a niche segment, or how a competitor's funnel compares. The mechanics are deliberately transparent. Personas run in parallel browsers, and the operator watches live video feeds alongside reasoning logs that record what each persona notices and why it takes its next action. When the run finishes, the results view assembles cross-persona analysis and recommended next steps, and participants can be questioned directly to dig into a specific moment. Journeys are not confined to one domain: personas can move through search engines, assistants such as ChatGPT, and rival sites, which matters for teams mapping a full buying path rather than a single page. Best fit is product, UX and growth teams inside larger commerce or consumer businesses, especially those who need feedback on markets that are hard to recruit (the vendor cites Francophone Africa and multicultural audiences as examples). The comparison Maskerade draws is with panels, analytics and heatmaps: panels are expensive and slow, while click data shows behaviour without motive. Because the sample is synthetic, there is no implementation work and no consent banner. The obvious trade-off is realism. Synthetic personas model intent, not living customers, so the output reads best as directional hypotheses to validate with real traffic. The product is in private beta and requires booking a demo, so pricing and access terms are not public.